AI and no-code hackathon – use cases from Appfarm

Earlier this year, we hosted our internal week-long hackathon – a designated space and time for employees to explore and experiment with functionality and integrations they don’t have time to prioritize in a busy work week. This hackathon had the topic of AI and no-code.

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AI and no-code hackathon – use cases from Appfarm

The week-long hackathon called Create-ive, enabled Appfarm employee from all teams to get creative with platform features and integrations they don’t have time to prioritize in a busy work week. 

“The topic for Create-ive in this round was AI in the context of no-code solutions.”

- Isabel Slorer, Solution Engineer at Appfarm and one of the facilitators of the event.

During the hackathon, the organization got to collaborate across teams and discover specific use cases for enterprise solutions where generative AI enables new possibilities. The participants got more familiar with how the assistants API to OpenAI works, and how it could easily be integrated with Appfarm's no-code platform. 

“We wanted to increase the awareness of how AI can be leveraged together with no-code, and generate some good example prototypes as output"

Among the solutions created were:

  • An HR assistant
  • An app that suggests a price and gives a description of an object based on a photo of it
  • A document processing tool
  • An HSE assistant for construction blasting

When to use AI for enterprise applications

At Appfarm, our mission is to enable businesses of all sizes to create and launch custom software much faster to stay ahead of the curve. We strongly believe that combining modern no-code technology with AI is a match made in heaven, as it enables users to build applications really fast and supercharge it by integrating with AI APIs. This powerful combination allows small teams, and even individuals, to experiment and explore new ideas previously only available to big corporations.

No-code helps enterprises improve efficiency and productivity by digitizing business processes, and there is no doubt that generative AI can play an important part in improving efficiency even further. It can, for instance, help do the heavy lifting on tedious tasks that involve analyzing or generating text (or images) and, in general, utilize information better and faster,” Isabel says. 

However, there should be a proper use case and need for AI if you are to implement it in a digital solution. At the moment, most of us are still in the phase of figuring out how we can get the most value from generative AI.

“Although it is a hyped term these days, I think using AI only to say that you are using AI is in general a bad idea,” Isabel says. 

Her experience from the hackathon is that it i easier to start with a specific problem rather than trying to come up with ideas from scratch. She believes it is also important to keep in mind that AI uses a lot of computational power and use it wisely.

“I experienced that LLMs can be quite slow at times, as some of the demos took several minutes to load. For real use cases, it might be better to use smaller models that are better suited for the specific use case, both to increase speed and reduce usage of computational power,” Isabel says. 

HR Virtual Assistant application

Practical examples of AI and no-code

No-code has become a go-to tool for large enterprises to solve complex digital needs, and an increasing number of organizations is implementing this as an internal tool to develop custom digital solutions. At the same time, AI is bringing a lot of value to businesses looking to streamline tasks and work more efficiently. There is no doubt that AI and no-code combined can boost the value even further for these organizations.

Appfarm's out-of-the-box integrations not only allow users to rapidly integrate with OpenAI (or really any other AI service) but also with their internal systems or other third-party services.

Here are a few practical examples of using No-Code to create Applications that utilize out-of-the-box OpenAI APIs.

  1. Product reviews analysis
    Analyze customer reviews to identify common complaints and pain points, track brand sentiment, and detect potential issues with products or services.
  2. Intelligent document processing:
    Automate document processing tasks, such as extracting relevant information from contracts, invoices, and legal documents, saving time and reducing human error.
  3. How-to guidance
    Let the user ask for your documentation. Use OpenAI to extract keywords from the user’s questions, search your documentation for relevant articles, and use OpenAI to extract the essence of the articles to present as an answer to the user.

Appfarm provides a set of example applications combining no-code and AI, as well as a setup guide for you to kickstart your no-code and AI exploration. As an Appfarm no-code developer, you also have full access to the setup inside Appfarm Create.

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